andrewsiah/personalization_prompt_response_gemma_7b

---
dataset_info:
features:
- name: reward_1
dtype: float64
- name: reward_2
dtype: float64
- name: reward_3
dtype: float64
- name: reward_4
dtype: float64
- name: reward_5
dtype: float64
- name: reward_6
dtype: float64
- name: reward_7
dtype: float64
- name: reward_8
dtype: float64
- name: prompt
dtype: string
- name: subset
dtype: string
- name: id
dtype: int64
- name: response_1
dtype: string
- name: response_1_model
dtype: string
- name: response_2
dtype: string
- name: response_2_model
dtype: string
- name: response_3
dtype: string
- name: response_3_model
dtype: string
- name: response_4
dtype: string
- name: response_4_model
dtype: string
- name: response_5
dtype: string
- name: response_5_model
dtype: string
- name: response_6
dtype: string
- name: response_6_model
dtype: string
- name: response_7
dtype: string
- name: response_7_model
dtype: string
- name: response_8
dtype: string
- name: response_8_model
dtype: string
- name: rformatted_promptresponse_1
dtype: string
- name: rformatted_promptresponse_2
dtype: string
- name: rformatted_promptresponse_3
dtype: string
- name: rformatted_promptresponse_4
dtype: string
- name: rformatted_promptresponse_5
dtype: string
- name: rformatted_promptresponse_6
dtype: string
- name: rformatted_promptresponse_7
dtype: string
- name: rformatted_promptresponse_8
dtype: string
splits:
- name: train
num_bytes: 318180521
num_examples: 10431
download_size: 186459413
dataset_size: 318180521
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---

The dataset is primarily used for evaluating and training models on various rewards and responses. It includes multiple reward features (reward_1 to reward_8), which are of type float64, quantifying different rewards. Additionally, it contains prompt and subset features, both of type string, and an identifier (id) feature of type int64. The dataset also details multiple response features (response_1 to response_8) along with their corresponding model information, all of which are of type string. The dataset is divided into a training set (train) with 10431 samples, totaling 318180521 bytes. The download size of the dataset is 186459413 bytes.

原始信息汇总

数据集概述

数据集特征

• reward_1 至 reward_8: 数据类型为 float64。
• prompt: 数据类型为 string。
• subset: 数据类型为 string。
• id: 数据类型为 int64。
• response_1 至 response_8: 数据类型为 string。
• response_1_model 至 response_8_model: 数据类型为 string。
• rformatted_promptresponse_1 至 rformatted_promptresponse_8: 数据类型为 string。

数据集分割

• train:
  • 数据大小: 318180521 字节
  • 示例数量: 10431

数据集大小

• 下载大小: 186459413 字节
• 数据集大小: 318180521 字节